- Learn Amazon SageMaker
- Julien Simon;Francesco Pochetti
- 141字
- 2021-04-09 23:11:20
Technical requirements
You will need an AWS account to run examples included in this chapter. If you haven't got one already, please point your browser at https://aws.amazon.com/getting-started/ to create one. You should also familiarize yourself with the AWS Free Tier (https://aws.amazon.com/free/), which lets you use many AWS services for free within certain usage limits.
You will need to install and to configure the AWS Command-Line Interface (CLI) for your account (https://aws.amazon.com/cli/).
You will need a working Python 3.x environment. Be careful not to use Python 2.7, as it is no longer maintained. Installing the Anaconda distribution (https://www.anaconda.com/) is not mandatory, but strongly encouraged as it includes many projects that we will need (Jupyter, pandas, numpy, and more).
Code examples included in the book are available on GitHub at https://github.com/PacktPublishing/Learn-Amazon-SageMaker. You will need to install a Git client to access them (https://git-scm.com/).
- 中國國民經濟核算體系修訂問題研究
- 一本書學內部審計:新手內部審計從入門到精通
- Pentaho Business Analytics Cookbook
- Mastering System Center Configuration Manager
- Splunk:Enterprise Operational Intelligence Delivered
- 博弈論及其在經濟管理中的應用
- Salesforce Essentials for Administrators
- Tableau:Creating Interactive Data Visualizations
- 中國審計市場:制度變遷與競爭行為
- Big Data Analytics with R and Hadoop
- 傳習集2
- Oracle E-Business Suite Financials R12:A Functionality Guide
- Building Dashboards with Microsoft Dynamics GP 2016(Second Edition)
- 統計學理論前沿(谷臻小簡·AI導讀版)
- Amazon EC2 Cookbook